Journal of Education for Pure Science-University of Thi-Qar

Volumetric water content (VWC) is the ratio of the volume of water to a unit volume of soil. It can be expressed as
a percentage or depth of water per soil depth, and it is one of the important factors in determining agricultural
drought-related development of water present in soil and water in land surfaces not found in rivers, lakes or
groundwater but rather than It resides in the pores of the soil, and relative humidity is the concentration of water
vapor present in the air. Water vapor is the gaseous state of water and is generally invisible to the human eye.
Humidity indicates the possibility of precipitation, dew or mist, the humidity depends on the temperature and
pressure of the system in question. The same amount of water vapor produces more moisture in cold air than it
does in warm air. The relevant variable is the degree of dew point. The amount of water vapor needed to achieve
saturation increases with increasing temperature. As the temperature of a specific portion of the air decreases, it
will eventually reach its saturation point without adding or losing mass of water.
The data was obtained from the European Center (ECMWF), which includes the average monthly and annual
relative humidity and water content of soil, for a period of 30 years from (1988-2018) for four selected stations
over Iraq. The lowest values of relative humidity were recorded in July and August. The highest value of relative
humidity was in the months of December and January accompanied by a decrease in temperature and dew. We note
from the results that there is a positive relationship between RH% and VSWC for soil. The highest value for the
water content was in Mosul and the lowest in Basra, the reason is due to meteorological factors, and the results
show that the strong correlation is in all study stations.

Concerns about water pollution keep growing locally and around the world in regards the advanced industries and related all life aspects health. Every day, the industries activity ends in depositing contaminants into a water source or connected aqua systems. The contamination is getting widely distributed, so the demand for cost-effective, efficient, and advanced system for water pollution remediation is needed as traditional remediation processes were relatively weak. Nano zero valent iron synthesized by sodium borohydride has an outstanding reactivity and abundancy. It has a great surface area to volume ratio with strong reactivity. Recently, the potential reducing property of nano-scale zero valent iron, NZVI, has attracted much more attention and many studies used NZVI for the reduction of organic and inorganic contaminants in aquatic environment. It can also be used for the remediation of groundwater and removal of heavy metals from industrial wastes. Therefore, it is synthesized in current paper and characterized by BET, XRD, and IR spectroscopic technologies.

The aim of this study was a descriptive and statistical study of the types of diabetes that affect people
under the age of 18. This study was conducted at the Diabetes and Endocrinology Center in Nasiriyah,
based on hospital statistics for the year 2020, where the number of cases of children with diabetes reached
(165) Cases of diabetes center auditors for the period from January 2020 to December 2020. The
information included: (gender, age, type of diabetes, complications, family history, place of residence and
type of treatment).
The current study showed that the incidence of diabetes in children under 18 years of age for 2020 was
higher in male children (92 cases)(56%) than in female children (73 cases)(34%). The highest incidence
was in the age group (10-12) years, then the age group (13-15) years. The
highest incidence period of onset of diabetes of diabetes was in the age group (10-12) years
(25%), then the group (13-15) years (23%) as in the table (2). The incidence of type 1 diabetes
(90%) and type 2 diabetes (10%). The complications wi

This study was carried out to evaluate the histopathological changes induced by mercuric chloride in
Twenty (20) male guinea pigs which were equally divided into two groups (n=10 for each). The mercuric
chloride was given orally at doses (4mg\kg) for second group (B), and distal water for group (A) as
control group. After 20 days of treatment, male guinea pigs were sacrificed, the histopathological
examination revealed that the mercuric chloride has wide space between seminiferous tubules and
showed an inadequately expansion and separation of spermatogenic and dilatation the space between
seminiferous tubules and scarcely any number of sperms and that might be because of HgCl2 actuated
oxidative pressure and expanded free-extremist in testis thusly might be causes decline number of sperms
in histological segment of testis. . A few investigations have detailed that the openness of creatures to
inorganic or natural types of mercury are joined by enlistment of oxidative stress and rise of creation of
receptive oxygen species (ROS) which lead to cell demise. The turn of events and development of male
conceptive tubules and seminiferous tubules in vertebrates rely upon the increment of testosterone
fixation. Testosterone is fundamental for endurance of the spermatogenic endothelium and speed up
seminiferous tubule improvement in the guinea pigs

This stady was conducted to identify the chemical compounds in the aqueous and alcoholic extract of damas leaves Conocarpus lancifolus Engl. using the GC-MS equipment on instrument . The results of this study showed the aqueous extract contained 23 chemical compounds and the alcoholic extract contained 22 chemical compounds. The compounds varied many alkaloids such us Dicyclopentadiene diepoxide, glycosides such us Lactos , terpenes such us alpha-Amyrin, fatty acids such us Oleioc acid, esters such us Hexadecanoic acid, ethyl ester and phenolic such us Pluchidiol compounds. The compound (.alpha.,.beta.-Gluco-octonic acid lactone) recorded the highest percentage, while the compound (Dicyclopentadiene diepoxide) recorded the lowest percentage in the aqueous extract, while in the alcoholic extract (gamma.-Sitosterol) that the actieved the highest percentage, and the compound (Bicyclo] 2.1.1]hexan-2-ol,2-ethenyl) is the lowest.The similarity between the aqueous and alcoholic extracts in 5 compounds (Thiosulfuric acid (H2S2O3), S-(2-aminoethyl) ester, L-Serine O-(phenylmethyl),Malonic acid hept -6- ynyl , 1-Heptatatriacotanol, 2,7-Diphenyl- 1,6-dioxopyridazino[4,5:2,3]pyrrolo[4,5-d]pyridazine). Most of the existing compounds had a known medical importance that varied between anti-cancer such as (alpha.-Amyrin) and antibiotics such as (gamma.-Sitosterol) and some of them used in treatment in cardiac systems such as (Procainamide).

EEG signal suffers from some problem which leads to difficult during diagnosis of diseases. This paper is presented a new approach for diagnosing epilepsy disease through EEG signals are using Weighted Visibility Graph(WVG) for build complex networks and then extracting two feature weight index complexity and average weight index of the network which characterized by its ability to detect seizure cases depending the amount of change in the EEG.the suggested method has been tested with a publicly available benchmark database. So evaluation of performance of proposed the method the experimental results with Support Vector Machine SVM classifier gave us 100% accuracy for classifying healthy VS epileptic seizure signals and also when testing every feature as separate way average have get 97% accuracy

One of the newest technologies is cloud computingmost aspects in distributed systems that are most appealing.On-demand services are available on a pay-as-you-go systembasis. In cloud computing, Major research subjects include work scheduling and genetic algorithms. Task scheduling refers to the process of allocating tasks to resources (virtual computers), while genetic algorithm is the process of creating a community between resources in order to find optimal solutions to issues using the theory of natural selection. We present a genetic approach to job scheduling with deadline constraints in this paper. Each time the virtual machine load plus completion time is tested smaller and equal to the capacity of the virtual machine and smaller and equal to the task deadline, two loops are formed, one for tasks and one for virtual machinesThe suggested algorithm is compared to various algorithms Existing in use, including as"An Effective Load Balancing Algorithm Based on Deadline Constraint( ELBAD)"and"Elastic Load Balancer (ELB)" and the experimental results show that the proposed algorithm is superior to others in terms of reducing rejected tasks and maximizing accepted tasks.

The need to use a biometric authentication systems in many applications because we need to provide adequate protection for the sensitive personal data that the systems deal with increases to prevent potential attacks that could harm the widespread use of biometric systems. The goal of this research is to provide a high level of biometric data security for a face and ten fingerprint biometric system. All cloaking techniques that deal with the face image hide the fingerprint data at the image level and produce a stego-image. The researcher proposes a new methodology to hide the data of ten fingerprints in templates .The face is at the feature level rather than the image level.And also a new encryption algorithm based on the idea of MESR combined with DCT to encrypt the details of the fingerprint before hiding it. As a result, alternative methods such as encryption are required to safeguard the features, which necessitates the creation of extra accounts .The researcher proposes the following solutions to alleviate these disadvantages Where the output was extracted using the proposed method of DCT(Discrete cosine transform) and MESR(maximally stable extremal regions) to hide fingerprints in the features of the face, as well as used the proposed method for de-masking using IDCT, and the results were 100% identical when de-hiding.

Data mining is an complex process that extracts the required, useful, and comprehensive data from the
large quantity of data in order to achieve predetermined goals; some consider data mining to be a
common term in the field of extracting knowledge, while others consider data mining to be one of the
first steps in the process of extracting knowledge. And the clustering is the method of separating a data
set into distinct cluster groups, each with comparable characteristics, with the goal of combining the data
into a single cluster. We are attempting to discuss the possibilities provided by the data mining procedure,
and well as how it might improve the standard of service in universities libraries, in this study. Where this
article goals to set the books information that is contained in any library, for example, a library College of
Education for Pure Science in the University of Thi Qar, by using the K-means clustering approach.
Name, Title Of the book, and Author are used as input variables in this K-means clustering method. The
result is divided into three groups: (B1) the most commonly borrowed book, (B2) often borrowed book,
and (B3) rarely borrowed book. The final result achieved using this K-means Clustering approach
includes members of cluster 1 containing (19) members, cluster 2 containing (22) members, and cluster 3

containing (19) members. The library can use the information from grouping this books data. In the case
of selecting books to be introduced to the library, it is important to reduce the number of books that are
seldom borrowed for the purpose of avoid a backlog of books that are seldom borrowed, leaving room for
new books to also be added.

Clustering is a significant data mining method that is used in a variety of disciplines. Clustering
attempts to divide a big set of data into smaller groups that are more similar within the same group, but
distinct from other groups, each subgroup referred to as a “cluster”. This paper introduces the concept of
clustering, the most important clustering approaches, and the application of graph-based clustering
utilizing one of the graph algorithms, the Minimum Spanning Tree (MST) algorithm, which groups
related nodes into clusters. The method has been evaluated on five various data sets utilizing cluster
validation measures (Adjusted Rand Index, v-measure_ scores), and its performance on all of these data
sets has been demonstrated when compared to other algorithms.

In this paper , We introduce the notion of intuitionistic fuzzy soft topological space in
intuitionistic fuzzy soft set theory . Also , We introduce a quasi-coincident relation and Qintuitionistic fuzzy soft neighborhood . system . Also the concepts of intuitionistic fuzzy soft base ,
intuitionistic fuzzy soft sub base are introduced her and established some important theorems . and
introduced the base for generated intuitionistic fuzzy soft topological space .

The various hand EMG signal grasps are classified in this study. Because EMG signals offer critical information about muscle activity, they are commonly used as input to electro muscular control systems. Each muscle performs a specific function in each movement. Electromyography is a medical, healthcare, and human-machine interaction diagnostic technique for acquiring an EMG signal (MMI).e most important component of the locomotion system is the muscular system. Accordingly, sensors were developed to detect the movement system and diagnose the electromyogram. Nowadays, While maintaining a modest size, it has improved and become more accurate. In this paper, The EMG signals are converted into images using CWT, then the EMG images features are extracted based on convolutional neural network (CNN) , and finally, the EMG features are categorized by an LS-SVM classifier in Matlab. The main objective of this study is to classify grasps into six basic hand movements: (1) cylindrical, (2) palm, (3) lat (4) sphere(5) Tip, and (6) Hook. Finally, electrophysiological patterns of each movement were extracted by extracting features from the images using CNN where EMG images are divided into (70 percent ) training and (30 percent ) validation, and then these features are fed into classification using the least square support vector machine. It produced an accuracy of 94.81%